Fainite receives CHF 150,000 from Venture Kick to build a Physics-based AI engine for engineering simulations
02.03.2026
Fainite AG has obtained CHF 150,000 from Venture Kick to accelerate physics-based simulations and make advanced engineering analysis accessible across a wider range of applications. The technology enables accurate predictions without relying on large historical datasets.
 |
 |
Modern hardware development and material testing rely heavily on physics-based simulations for design, validation, and manufacturing. These simulations are often time- and compute-intensive, leading to high engineering costs and slower product launches. As a result, engineers are forced to simplify their models, limiting their ability to capture real-world conditions and constraining product performance, as extensive testing becomes too costly.
This is where Fainite steps in, developing a physics-aware AI platform that accelerates and simplifies simulation workflows. The platform allows engineers to run simulations faster, set up new workflows in minutes, and intelligently reuse previous results, even with limited data. An integrated AI agent guides users through complex tasks and provides expert recommendations, making advanced analysis and design exploration more accessible while preserving the underlying physical principles of each problem.
Fainite aims to support the 9 million hardware engineers worldwide affected by these bottlenecks, starting with the most complex engineering challenges that cannot be solved using general-purpose AI models.
The CHF 150,000 from Venture Kick will support the expansion of the technology into new engineering domains and applications, accelerate the launch of a scalable platform with next-generation capabilities, and strengthen the team and go-to-market efforts to scale enterprise adoption.
Fainite was founded by researchers and engineers from Caltech, ETH Zurich, the University of Cambridge, and Google, including Alex Donzelli (CEO), Prof. Burigede Liu (Chief Scientist), and Matthias Bonvin (ML Lead), together with former executives from leading physics simulation software companies. The team combines academic expertise in deep learning and computational physics with industry experience in commercial simulation platforms, enabling the development of a versatile physics AI solution.
“Venture Kick has played a key role in helping us move quickly from early validation to real industrial applications. The support, feedback and network have been invaluable in shaping both our product and our go-to-date market strategy,” highlighted CEO Alex Donzelli.
Alex Donzelli (CEO), Matthias Bonvin (ML Lead), and Prof. Burigede Liu (Chief Scientist)
This is where Fainite steps in, developing a physics-aware AI platform that accelerates and simplifies simulation workflows. The platform allows engineers to run simulations faster, set up new workflows in minutes, and intelligently reuse previous results, even with limited data. An integrated AI agent guides users through complex tasks and provides expert recommendations, making advanced analysis and design exploration more accessible while preserving the underlying physical principles of each problem.
Fainite aims to support the 9 million hardware engineers worldwide affected by these bottlenecks, starting with the most complex engineering challenges that cannot be solved using general-purpose AI models.
The CHF 150,000 from Venture Kick will support the expansion of the technology into new engineering domains and applications, accelerate the launch of a scalable platform with next-generation capabilities, and strengthen the team and go-to-market efforts to scale enterprise adoption.
Fainite was founded by researchers and engineers from Caltech, ETH Zurich, the University of Cambridge, and Google, including Alex Donzelli (CEO), Prof. Burigede Liu (Chief Scientist), and Matthias Bonvin (ML Lead), together with former executives from leading physics simulation software companies. The team combines academic expertise in deep learning and computational physics with industry experience in commercial simulation platforms, enabling the development of a versatile physics AI solution.
“Venture Kick has played a key role in helping us move quickly from early validation to real industrial applications. The support, feedback and network have been invaluable in shaping both our product and our go-to-date market strategy,” highlighted CEO Alex Donzelli.
Alex Donzelli (CEO), Matthias Bonvin (ML Lead), and Prof. Burigede Liu (Chief Scientist)